Global health insurer modernizing claims, data, and customer platforms at scale
Cigna Group operates a massive healthcare and insurance infrastructure across 190 million customer relationships in 30+ countries. The tech stack reveals a heavy enterprise footprint—SAP, Salesforce, Oracle Fusion, Azure—with active adoption of Azure OpenAI and Pega alongside migrations away from legacy batch systems (Hadoop, Oozie, Hive). The hiring mix skews heavily toward engineering and healthcare operations, with significant data and finance teams, signaling aggressive modernization of claims processing, portal systems, and cost analytics rather than business expansion.
Notable leadership hires: Real Estate Director, Chief Clinical Quality Officer, Finance Lead, Finance Transformation GCC Lead, Chief Medical Officer
The Cigna Group is a publicly traded global health services company providing insurance products, healthcare services, and related benefits across 30+ countries. The organization serves more than 190 million customer relationships through multiple branded divisions including Cigna Healthcare and Evernorth Health Services. Operating at enterprise scale, Cigna manages complex claim workflows, provider networks, medical cost management, and customer-facing digital experiences. Current project focus spans sales strategy, data modernization, mobile platform development, claim processing acceleration, and network analytics—layered on decades of legacy systems now being replaced with cloud and modern orchestration tools.
Core platforms: Salesforce, SAP, Azure, Azure Cosmos DB, Kafka, SQL. Security: OAuth 2.0, OIDC, SAML, SCIM, mTLS, JWT. Reporting: Tableau, Business Objects. Testing: Selenium. Currently adopting Azure OpenAI, Oracle Fusion Financials, and Pega; replacing Hadoop, Oozie, Hive.
Active projects include modernizing portal and self-service applications, building a mobile platform, optimizing claim processing time, network analytics, total medical cost initiatives, and ETL process management. Pain points center on reducing claim processing time, data integration, database efficiency, and technical debt reduction.
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